Full Description
This concise volume offers an accessible introduction to state-of-the-art artificial intelligence (AI) language models, providing a platform for their use in textual interpretation across the humanities and social sciences.
The book outlines the affordances of new technologies for textual analysis, which has historically employed established approaches within the humanities. Neuman, Danesi, and Vilenchik argue that these different forms of analysis are indeed complementary, demonstrating the ways in which AI-based perspectives echo similar theoretical and methodological currents in traditional approaches while also offering new directions for research. The volume showcases examples from a wide range of texts, including novels, television shows, and films to illustrate the ways in which the latest AI technologies can be used for "dialoguing" with textual characters and examining textual meaning coherence.
Illuminating the potential of AI language models to both enhance and extend research on the interpretation of texts, this book will appeal to scholars interested in cognitive approaches to the humanities in such fields as literary studies, discourse analysis, media studies, film studies, psychology, and artificial intelligence.
Contents
Contents
Preface
Acknowledgments
Chapter 1. What Is a Text?
Chapter 2. A Friendly Introduction to Machine Learning and Deep Neural Networks
Chapter 3. A Friendly Introduction to Large Language Models
Chapter 4. Using AI for Dialoguing with Texts
Chapter 5. Bart Simpson: The Rebellious Mind
Chapter 6. Marilyn Monroe: Are Diamonds Really a Girl's Best Friend?
Chapter 7. The Mind of a Killer: From Pulp Fiction to Seung-Hui Cho
Chapter 8. To Die Will Be an Awfully Big Adventure: AI in Neverland
Chapter 9. When Harry Met Sally: AI and the Fake Orgasm
Chapter 10. Final Summary
Index
